Python at Massive Scale


Follow to receive video recommendations   a   A

The talk describes how JPMorgan has scaled its Athena Python trading and risk analytics platform over 10 years to 35m LOC/150k Python modules, and several thousand developers. The talk will also cover key parts of the infrastructure and tooling for data analytics and visualization, and explain how those have been adapted for workloads orders of magnitude larger than originally envisaged.

Editors Note:

If you like this website, please upvote my Awesome Python pull request.